By Han Xinzi @Showmeai
Tutorial address: www.showmeai.tech/tutorials/4…
Statement: All rights reserved, please contact the platform and the author and indicate the source
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The introduction

ShowMeAI’s “Python Machine Learning In Action” series is designed to help you learn how to build a scenario modeling solution and how to tune it. (For those of you who want to understand more about the machine learning algorithms involved, check out another series of ShowMeAI’s illustrated machine learning algorithms.)

Contents: Machine learning tool library installation and environment configuration, machine learning pipeline, data preprocessing, feature engineering, SciKit-Learn tool application, XGBoost application, Lightgbm application, automatic feature engineering and automatic machine learning modeling, etc.

Tutorial addresses

Click here to see the full tutorial learning path

The content section

1. Application practice of Python machine learning algorithm

2.SKLearn introduction and simple application cases

3.SKLearn most complete application guide

4.XGBoost modeling application in detail

5. Detailed explanation of LightGBM modeling application

6.Python Machine learning Integrated Project – E-commerce sales forecast

7.Python Machine Learning Integrated Project — E-commerce Sales Forecast < Advanced Solution >

8. Machine learning feature engineering most complete interpretation

9. Application of Featuretools

10. Machine learning modeling

ShowMeAI series tutorials recommended

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Illustrated Big Data Technology: From beginner to master
Illustrated Machine learning algorithms: Beginner to Master series of tutorials
Machine learning: Teach you how to play machine learning series

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